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[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …
online community formation and online debate, the issue of hate speech detection and …
A literature survey on multimodal and multilingual automatic hate speech identification
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
Are they our brothers? analysis and detection of religious hate speech in the arabic twittersphere
Religious hate speech in the Arabic Twittersphere is a notable problem that requires
develo** automated tools to detect messages that use inflammatory sectarian language to …
develo** automated tools to detect messages that use inflammatory sectarian language to …
Unsupervised user stance detection on Twitter
We present a highly effective unsupervised framework for detecting the stance of prolific
Twitter users with respect to controversial topics. In particular, we use dimensionality …
Twitter users with respect to controversial topics. In particular, we use dimensionality …
A deep learning approach for automatic hate speech detection in the saudi twittersphere
With the rise of hate speech phenomena in the Twittersphere, significant research efforts
have been undertaken in order to provide automatic solutions for detecting hate speech …
have been undertaken in order to provide automatic solutions for detecting hate speech …
[PDF][PDF] Detection of hate speech in social networks: a survey on multilingual corpus
In social media platforms, hate speech can be a reason of “cyber conflict” which can affect
social life in both of individual-level and country-level. Hateful and antagonistic content …
social life in both of individual-level and country-level. Hateful and antagonistic content …
A survey of offensive language detection for the Arabic language
The use of offensive language in user-generated content is a serious problem that needs to
be addressed with the latest technology. The field of Natural Language Processing (NLP) …
be addressed with the latest technology. The field of Natural Language Processing (NLP) …
Predicting the topical stance and political leaning of media using tweets
Discovering the stances of media outlets and influential people on current, debatable topics
is important for social statisticians and policy makers. Many supervised solutions exist for …
is important for social statisticians and policy makers. Many supervised solutions exist for …
Abmm: Arabic bert-mini model for hate-speech detection on social media
Hate speech towards a group or an individual based on their perceived identity, such as
ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms …
ethnicity, religion, or nationality, is widely and rapidly spreading on social media platforms …
Disrupting Daesh: Measuring takedown of online terrorist material and its impacts
This article contributes to public and policy debates on the value of social media disruption
activity with respect to terrorist material. In particular, it explores aggressive account and …
activity with respect to terrorist material. In particular, it explores aggressive account and …